Machine Learning Engineer

2 days ago

India SYNOpix Full time

Join our team as a  Machine Learning Engineer and build innovative solutions for our U.S. client. We're looking for someone with a strong background in machine learning who is ready to design, build, and deploy robust ML models in a production environment. Your expertise in  AWS SageMaker will be key to creating scalable solutions that deliver real business value.

Responsibilities

  • Design, develop, and deploy end-to-end machine learning pipelines on  AWS SageMaker .
  • Collaborate with data scientists to translate models and algorithms into production-ready code.
  • Manage the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.
  • Implement MLOps best practices to automate workflows and ensure model performance and reliability.
  • Optimize ML models for performance, scalability, and cost efficiency on the AWS platform.
  • Monitor and troubleshoot deployed models to ensure they meet performance and business requirements.
  • Stay current with the latest advancements in machine learning and cloud technologies.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in a machine learning or data science role.
  • Hands-on experience with  AWS services , specifically  SageMaker .
  • Proficiency in Python and standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with containerization technologies like Docker.
  • Solid understanding of MLOps principles and tools for CI/CD.
  • Knowledge of data engineering principles and experience with big data technologies (e.g., Spark, Hadoop).
  • Strong problem-solving skills and the ability to work in a collaborative environment.

Preferred Qualifications

  • Experience with other AWS services such as  S3, Lambda, Glue, and Redshift .
  • Certifications such as  AWS Certified Machine Learning – Specialty .
  • Experience with model serving frameworks (e.g., Flask, FastAPI).
  • Experience with version control systems like Git.
  • Familiarity with agile development methodologies.

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